OpenText Enterprise Performance Engineering (LoadRunner Enterprise) and OpenText Professional Performance Engineering (LoadRunner Professional) are products competing in the enterprise-level performance testing category. LoadRunner Enterprise seems to have the upper hand due to its suitability for large-scale distributed environments, while LoadRunner Professional is notable for test customization through scripting capabilities.
Features: LoadRunner Enterprise offers centralized testing and seamless integration with enterprise tools like Application Lifecycle Management, flexible testing in large-scale environments, and multi-user collaboration. LoadRunner Professional is recognized for powerful scripting and versatile protocol support, along with detailed performance testing scenarios for test customization.
Room for Improvement: LoadRunner Enterprise could enhance infrastructure management support, improve cloud architecture integration, and strengthen third-party tool integration. LoadRunner Professional could simplify scripting, align its pricing model with market expectations, and enhance its user interface to improve resource management for complex scripts.
Ease of Deployment and Customer Service: Both products offer deployment options including on-premises, private, and public cloud, with LoadRunner Enterprise also supporting hybrid environments. Customer service experiences are mixed; LoadRunner Enterprise often benefits from experienced technical teams for complex installations, while LoadRunner Professional users report challenges in customer service efficiency.
Pricing and ROI: LoadRunner Enterprise, with licensing tied to user numbers and use cases, is perceived as expensive but offers high ROI for organizations needing high-scale testing. LoadRunner Professional's pricing is a barrier for smaller organizations, though the feature set and adaptability justify the cost with strong ROI, reducing performance bottlenecks and preventing downtimes.
I have seen an ROI from this tool, as it provides enormous value.
The customer service and technical support for OpenText Enterprise Performance Engineering (LoadRunner Enterprise) is reasonable, not impressive, but provides adequate assistance.
If I need to rate support from one to ten, I would say it is a nine.
The technical support is really excellent.
I rate the scalability of OpenText Enterprise Performance Engineering (LoadRunner Enterprise) as ten when using a scale from one to ten, with one being low.
We look at the scalability because we are using the SaaS model now.
However, it remains quite stable.
I see it is stable, though there are some glitches or latency sometimes.
It could be much better, especially with modern AI capabilities.
I find that AI functionality in OpenText LoadRunner Professional should be improved and more accessible.
It is neither cheap nor expensive.
The best features of this solution are easy scripting and broad platform support.
The most valuable feature of OpenText LoadRunner Professional is the analysis part that is really good, along with the support for multiple protocols.
The scripting language is quite comfortable for us since we are working with C and C++.
| Product | Market Share (%) |
|---|---|
| OpenText Professional Performance Engineering (LoadRunner Professional) | 12.8% |
| OpenText Enterprise Performance Engineering (LoadRunner Enterprise) | 6.1% |
| Other | 81.1% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 9 |
| Large Enterprise | 73 |
| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 14 |
| Large Enterprise | 66 |
OpenText Enterprise Performance Engineering (LoadRunner Enterprise) provides robust performance testing capabilities with scalable and user-friendly tools. It supports multiple protocols for diverse applications, ensuring reliable and comprehensive performance metrics for organizations.
Designed for extensive performance testing, OpenText Enterprise Performance Engineering offers advanced integration features and global testing capabilities. Users value its ease of scheduling, detailed analysis, and efficient resource management. It simulates real-world scenarios to deliver valuable metrics across industries. Its intuitive interface, while needing smoother navigation, aligns with its flexibility and versatility. Enhanced reporting and cloud-based integration, especially with AWS, are potential growth areas alongside improved third-party tool integration and technical support.
What are the key features of OpenText Enterprise Performance Engineering?OpenText Enterprise Performance Engineering is implemented in banking, healthcare, and retail industries, assisting in load, stress, and performance testing. Organizations utilize its capabilities for validating web, API, cloud, ERP, and Citrix applications, ensuring reliability with comprehensive metrics for large-scale user handling.
OpenText Professional Performance Engineering, known as LoadRunner Professional, stands out with its powerful scripting tool, flexible capabilities, and extensive analytics, supporting numerous concurrent users for impactful load testing.
This performance engineering tool offers integration across systems and strong community support, paired with user-friendly interfaces. It excels in features like multi-protocol support, auto-correlation, and detailed reporting. However, improvements are needed in user-friendliness and cost-effectiveness, as scripting remains complex and pricing is a hurdle. Enhancing mobile and SPA testing capabilities, modern protocol support, and compatibility with non-Windows platforms would greatly benefit users while expanding monitoring and technical support responsiveness.
What are the key features of OpenText LoadRunner Professional?LoadRunner Professional is employed for performance and load testing across sectors such as banking, hospitality, and telecommunications. Users simulate business transactions and test applications under different user loads, focusing on API testing, web applications, and benchmarking to achieve optimal performance in complex scenarios.
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